Engineering enzymes with AI
A research team from Aalto University and VTT will construct a virtual laboratory for enzyme engineering, which will allow human-AI collaboration to flourish.
Artificial Intelligence and Machine Learning
Fundamentals and practical impact of AI on businesses and societies.
AI is a major focus area of Aalto University and the Department of Computer Science. Building on the department's strong tradition that includes neural network pioneers Teuvo Kohonen and Erkki Oja.
Our research contributes both to the fundamentals of AI across its many subfields, as well as to the accelerating practical impact AI has on businesses and societies.
The Department of Computer Science is a key player in the Finnish Center for Artificial Intelligence FCAI, a major ecosystem of academic, private and public sector partners.
Machine Learning Coffee Seminar
News highlights
Artificial intelligence to assist the brain
Neuroscience and neurotechnology are gaining a fresh ally in the form of artificial intelligence, which can assess dementia risk and enhance the effectiveness of depression treatments.
Forbes AI Award to research on image-creating GAN models
The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images
People
Related research groups
Computing technologies for designing, building and managing intelligent systems.
Machine learning models and methods for big data over networks
We develop new methods for probabilistic modeling, Bayesian inference and machine learning. Our current focuses are in particular learning from multiple data sources, Bayesian model assessment and selection, approximate inference and information visualization.
Research on semantic technologies, such as the Semantic Web and intelligent web services.
Latest publications
Likelihood-free inference in state-space models with unknown dynamics
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
2024
STATISTICS AND COMPUTING
Can docstring reformulation with an LLM improve code generation?
Nicola Dainese, Alexander Ilin, Pekka Marttinen
2024
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
Generative AI for graph-based drug design: Recent advances and the way forward
Vikas Garg
2024
Current Opinion in Structural Biology
Bayesian reduced rank regression models generalizable neural fingerprints that differentiate between individuals in magnetoencephalography data
Joonas Haakana, Susanne Merz, Samuel Kaski, Hanna Renvall, Riitta Salmelin
2024
European Journal of Neuroscience
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol
Ira H. Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestu, Jorge Acosta-Hernandez, Soraya Alfonsin, Vebjorn Andersson, Abhilash Anand, Victor Ayllon, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruna, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffre, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Oksengard, Javier Olazaran, Teemu Paajanen, Jose M. Pena, Luis Pena, Daniel lrabien Peniche, Ana S. Perez, Mohamed Radwan, Federico Ramirez-Torano, Andrea Rodriguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstol, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini
2024
Frontiers in Neurorobotics
Risk adjustment for regional healthcare funding allocations with ensemble methods : an empirical study and interpretation
Tuukka Holster, Shaoxiong Ji, Pekka Marttinen
2024
European Journal of Health Economics
Single-cell analysis of immune recognition in chronic myeloid leukemia patients following tyrosine kinase inhibitor discontinuation
Jani Huuhtanen, Shady Adnan-Awad, Jason Theodoropoulos, Sofia Forstén, Rebecca Warfvinge, Olli Dufva, Jonas Bouhlal, Parashar Dhapola, Hanna Duàn, Essi Laajala, Tiina Kasanen, Jay Klievink, Mette Ilander, Taina Jaatinen, Ulla Olsson-Strömberg, Henrik Hjorth-Hansen, Andreas Burchert, Göran Karlsson, Anna Kreutzman, Harri Lähdesmäki, Satu Mustjoki
2024
Leukemia
Detecting and diagnosing prior and likelihood sensitivity with power-scaling
Noa Kallioinen, Topi Paananen, Paul Christian Bürkner, Aki Vehtari
2024
STATISTICS AND COMPUTING
Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Yogesh Kumar, Alexander Ilin, Henri Salo, Sangita Kulathinal, Maarit K. Leinonen, Pekka Marttinen
2024
IEEE Transactions on Artificial Intelligence
A comparative study of clinical trial and real-world data in patients with diabetic kidney disease
Samu Kurki, Viivi Halla-aho, Manuel Haussmann, Harri Lähdesmäki, Jussi V. Leinonen, Miika Koskinen
2024
Scientific Reports
Related units
Helsinki Institute for Information Technology HIIT (external link)
Collaborative institute for research on information technology.
Research in Computer Science
Research in the Department of Computer Science
Department of Computer Science
cs.aalto.fi
School of Science
Science for tomorrow’s technology, innovations and businesses
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